Intelligent System for Remote Control of Liquid Nitrogen Pressure and Flow in the Cryogenic System of Superconducting Magnets: Hardware and Software Platform

The article describes the software-algorithmic platform for intelligent control (using the example of quantum self-organizing controllers in the control circuit) for the hardware of the current layout of remote control of the cooling process of a superconducting magnet with guaranteed achievement of a stable superconductivity zone. At the same time, optimal control quality parameters are provided, such as temperature, nitrogen consumption, speed, required pressure level and minimal complexity of control implementation. The current layout of a remote control system with built-in self-organizing quantum controllers is described. In the article, the selected structure of the intelligent control system is considered and justified by the example of nitrogen consumption, the operability and efficiency of the developed intelligent control system based on quantum soft computing technologies is experimentally demonstrated. The work was carried out within the interlaboratory project of MLIT and VBLHEP of JINR.